Analisi della scrittura giovanile da una prospettiva linguistico-computazionale: il caso di studio della Fanfiction

This paper presents a study aimed at characterizing the linguistic style of an emerging literary genre of the web, particularly appreciated by teens and young adults: fanfiction. By relying on Natural Language Processing approaches, and in particular on the methodology of linguistic profiling applied to a novel corpus of Italian fanfiction stories inspired by the fantasy saga "Harry Potter", we investigate the relationship between linguistic style and 'success', measured in terms of number of reviews obtained by the readers. We show that it is possible to detect a set of features, among a wide set of linguistic ones modeling lexical, morpho-syntactic and syntactic phenomena, which help more in discriminating between 'successful' and 'unsuccessful' fanfics.